Jobs · Engineering · California

Clinical AI Scientist

Stanford University · Stanford, CA · 1 mo ago
On-siteEngineeringFull-time

What you'll do

  • Help design translational studies that bring AI/ML solutions to real-world clinical problems across the ICU, NICU, and operating room, from framing the clinical question to defining how a model would be deployed and used at the bedside.
  • Design clinical studies that evaluate those models, including prospective and real-world implementation studies.
  • Lead data labeling and clinical annotation efforts, applying clinical judgment to build the high-quality labeled datasets that model development and evaluation depend on.
  • Design highly collaborative projects and the grant applications that fund them, and represent the lab in team-science meetings with external collaborators.
  • Advise trainees on the clinical relevance and translational framing of their projects.
  • Help coordinate the lab's project portfolio and mentorship alongside the PI.

Who you are

  • MD or equivalent medical degree (MBBS or international equivalent) with clinical training.
  • High-energy and up to date on modern AI/ML, with real excitement about applying it to clinical problems.
  • Familiarity with AI models and how they are evaluated is required. Hands-on experience building AI models is a plus, but not required.
  • A strong communicator who can move fluidly between clinical and computational worlds.
  • Open to candidates of any nationality; we sponsor and support your visa and green card.

What we offer

  • A long-term, career-track staff position, not a time-limited training appointment.
  • Visa sponsorship (cap-exempt H-1B) can be offered.
  • ~15% protected time for your own scholarly visibility: co-authorships, named roles on grants, and invited perspectives.
  • Work that reaches the bedside, in high-acuity settings where it matters most.
  • Clinical training/experience (regardless of specialty) is mandatory.

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